Artificial Intelligence Fuzzy Systems for Control ...（人工智能模糊系统控制）.pdfVIP

Artificial Intelligence Fuzzy Systems for Control Applications: The Truck Backer-Upper In this column, we introduce another tool in the advanced automation toolbox: fuzzy logic. The basis of fuzzy logic lies in the ambiguity in our thinking about concepts such as big, tall, slow, or bright, whose meanings are not only context dependent, but also ambiguous within a particu- lar context. Using fuzzy sets named by these ambiguous linguistic variables, we can build appli- cations that can outperform many of their traditional counterparts. As an example of the appli- cation of this technology, we will develop a fuzzy control system that automatically backs up a truck to a specified point on a loading dock. James A. Freeman Crisp Sets and Fuzzy Sets attribute are sharp. The set of small sand piles is distinct from the sets of medium and large sand piles. If a certain The topic of this column is fuzziness. Fuzziness can be sand pile belongs to one of these sets, it cannot belong to the defined as the ambiguity that can be found in the definition others. Such sets are called crisp. They have well defined of a concept or the meaning of a word [Terano et al. 1992]. boundaries, and there is no ambiguity regarding an object’s Let me illustrate the idea with a short parable. We are on the beach where I have made